基于springboot药房管理系统源码和论文

伴随着全球信息化发展,行行业业都与计算机技术相衔接,计算机技术普遍运用于药房管理行业。实施计算机系统来管理可以降低逍遥大药房管理成本,使整个逍遥大药房行业的发展有显著提升。

本论文主要面向逍遥大药房管理中出现的一些常见问题,将其与计算机管理系统结合起来。通过这个系统,管理员可以更加方便的管理逍遥大药房信息;可以清楚的了解逍遥大药房信息管理情况;以管理员登录系统,通过首页,个人中心,用户管理,保健品分类管理,药品分类管理,药品信息管理,疫情常识管理,保健品管理,系统管理,订单管理等功能模板,可以有效的分配各用户的权限。逍遥大药房管理系统在逍遥大药房管理中的应用,可以很大程度上提高管理水平,获得更好的经济效益。

该系统基于B/S即所谓浏览器/服务器模式,应用java技术,选择MySQL作为后台数据库。系统主要包括首页,个人中心,用户管理,保健品分类管理,药品分类管理,药品信息管理,疫情常识管理,保健品管理,系统管理,订单管理等功能模块。但是,这套系统实现的功能只是整个逍遥大药房管理系统中的一部分,系统中还存在一些不及之处,需要继续的创新,使其完美。

关键词:逍遥大药房管理;java技术;B/S;数据库;mysql;

基于springboot逍遥大药房管理系统源码和论文335

演示视频:

基于springboot逍遥大药房管理系统源码和论文

Abstract

With the development of global information technology, the industry is connected with computer technology, and computer technology is widely used in the big pharmacy management industry.The implementation of computer system to management can reduce the management cost of Xiaoyao pharmacy, and make the development of the whole Xiaoyao pharmacy industry significantly improved.

This paper mainly faces some common problems in the management system, which combines it with the computer management system.Through this system, the administrator can manage the information more conveniently; can clearly understand the information management; through the homepage, personal center, user management, health care classification management, drug classification management, drug information management, epidemic knowledge management, health care management, system management, order management and so on.The application of the management system in the management of Xiaoyao big pharmacy can greatly improve the management level and obtain better economic benefits.

The system is based on B / S, the so-called browser / server mode, applies java technology, and selects MySQL as the background database.The system mainly includes home page, personal center, user management, health care product classification management, drug classification management, drug information management, epidemic knowledge management, health care products management, system management, order management and other functional modules.However, the function of this system is only a part of the whole free free pharmacy management system, there are still some shortcomings in the system, need to continue to innovate, to make it perfect.

Key words: Xiaoyao big pharmacy management; java technology; B / S; database; mysql;

package com.controller;import java.io.*;
import java.sql.Connection;
import java.sql.DriverManager;
import java.sql.SQLException;
import java.text.SimpleDateFormat;
import java.util.*;import javax.servlet.http.HttpServletRequest;import com.alibaba.fastjson.JSON;
import com.utils.StringUtil;
import org.apache.commons.lang3.StringUtils;
import org.json.JSONObject;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.util.ResourceUtils;
import org.springframework.web.bind.annotation.PathVariable;
import org.springframework.web.bind.annotation.RequestBody;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RequestParam;
import org.springframework.web.bind.annotation.RestController;import com.annotation.IgnoreAuth;
import com.baidu.aip.face.AipFace;
import com.baidu.aip.face.MatchRequest;
import com.baidu.aip.util.Base64Util;
import com.baomidou.mybatisplus.mapper.EntityWrapper;
import com.baomidou.mybatisplus.mapper.Wrapper;
import com.entity.ConfigEntity;
import com.service.CommonService;
import com.service.ConfigService;
import com.utils.BaiduUtil;
import com.utils.FileUtil;
import com.utils.R;/*** 通用接口*/
@RestController
public class CommonController {private static final Logger logger = LoggerFactory.getLogger(CommonController.class);@Autowiredprivate CommonService commonService;/*** Java代码实现MySQL数据库导出** @param mysqlUrl     MySQL安装路径* @param hostIP       MySQL数据库所在服务器地址IP* @param userName     进入数据库所需要的用户名* @param hostPort     数据库端口* @param password     进入数据库所需要的密码* @param savePath     数据库文件保存路径* @param fileName     数据库导出文件文件名* @param databaseName 要导出的数据库名* @return 返回true表示导出成功,否则返回false。*/@IgnoreAuth@RequestMapping("/beifen")public R beifen(String mysqlUrl, String hostIP, String userName, String hostPort, String password, String savePath, String fileName, String databaseName) {File saveFile = new File(savePath);if (!saveFile.exists()) {// 如果目录不存在 saveFile.mkdirs();// 创建文件夹 }if (!savePath.endsWith(File.separator)) {savePath = savePath + File.separator;}PrintWriter printWriter = null;BufferedReader bufferedReader = null;try {Runtime runtime = Runtime.getRuntime();String cmd = mysqlUrl + "mysqldump -h" + hostIP + " -u" + userName + " -P" + hostPort + " -p" + password + " " + databaseName;runtime.exec(cmd);Process process = runtime.exec(cmd);InputStreamReader inputStreamReader = new InputStreamReader(process.getInputStream(), "utf8");bufferedReader = new BufferedReader(inputStreamReader);printWriter = new PrintWriter(new OutputStreamWriter(new FileOutputStream(savePath + fileName), "utf8"));String line;while ((line = bufferedReader.readLine()) != null) {printWriter.println(line);}printWriter.flush();} catch (Exception e) {e.printStackTrace();return R.error("备份数据出错");} finally {try {if (bufferedReader != null) {bufferedReader.close();}if (printWriter != null) {printWriter.close();}} catch (Exception e) {e.printStackTrace();}}return R.ok();}/*** Java实现MySQL数据库导入** @param mysqlUrl     MySQL安装路径* @param hostIP       MySQL数据库所在服务器地址IP* @param userName     进入数据库所需要的用户名* @param hostPort     数据库端口* @param password     进入数据库所需要的密码* @param savePath     数据库文件保存路径* @param fileName     数据库导出文件文件名* @param databaseName 要导出的数据库名*/@IgnoreAuth@RequestMapping("/huanyuan")public R huanyuan(String mysqlUrl, String hostIP, String userName, String hostPort, String password, String savePath, String fileName, String databaseName) {try {Runtime rt = Runtime.getRuntime();Process child1 = rt.exec(mysqlUrl+"mysql.exe  -h" + hostIP + " -u" + userName + " -P" + hostPort + " -p" + password + " " + databaseName);OutputStream out = child1.getOutputStream();//控制台的输入信息作为输出流String inStr;StringBuffer sb = new StringBuffer("");String outStr;BufferedReader br = new BufferedReader(new InputStreamReader(new FileInputStream(savePath+"/"+fileName), "utf-8"));while ((inStr = br.readLine()) != null) {sb.append(inStr + "\r\n");}outStr = sb.toString();OutputStreamWriter writer = new OutputStreamWriter(out, "utf8");writer.write(outStr);
// 注:这里如果用缓冲方式写入文件的话,会导致中文乱码,用flush()方法则可以避免writer.flush();out.close();br.close();writer.close();} catch (Exception e) {e.printStackTrace();return R.error("数据导入出错");}return R.ok();}/*** 饼状图求和* @return*/@RequestMapping("/pieSum")public R pieSum(@RequestParam Map<String,Object> params) {logger.debug("饼状图求和:,,Controller:{},,params:{}",this.getClass().getName(),params);List<Map<String, Object>> result = commonService.pieSum(params);return R.ok().put("data", result);}/*** 饼状图统计* @return*/@RequestMapping("/pieCount")public R pieCount(@RequestParam Map<String,Object> params) {logger.debug("饼状图统计:,,Controller:{},,params:{}",this.getClass().getName(),params);List<Map<String, Object>> result = commonService.pieCount(params);return R.ok().put("data", result);}/*** 柱状图求和单列* @return*/@RequestMapping("/barSumOne")public R barSumOne(@RequestParam Map<String,Object> params) {logger.debug("柱状图求和单列:,,Controller:{},,params:{}",this.getClass().getName(),params);List<Map<String, Object>> result = commonService.barSumOne(params);List<String> xAxis = new ArrayList<>();//报表x轴List<List<String>> yAxis = new ArrayList<>();//y轴List<String> legend = new ArrayList<>();//标题List<String> yAxis0 = new ArrayList<>();yAxis.add(yAxis0);legend.add("");for(Map<String, Object> map :result){String oneValue = String.valueOf(map.get("name"));String value = String.valueOf(map.get("value"));xAxis.add(oneValue);yAxis0.add(value);}Map<String, Object> resultMap = new HashMap<>();resultMap.put("xAxis",xAxis);resultMap.put("yAxis",yAxis);resultMap.put("legend",legend);return R.ok().put("data", resultMap);}/*** 柱状图统计单列* @return*/@RequestMapping("/barCountOne")public R barCountOne(@RequestParam Map<String,Object> params) {logger.debug("柱状图统计单列:,,Controller:{},,params:{}",this.getClass().getName(),params);List<Map<String, Object>> result = commonService.barCountOne(params);List<String> xAxis = new ArrayList<>();//报表x轴List<List<String>> yAxis = new ArrayList<>();//y轴List<String> legend = new ArrayList<>();//标题List<String> yAxis0 = new ArrayList<>();yAxis.add(yAxis0);legend.add("");for(Map<String, Object> map :result){String oneValue = String.valueOf(map.get("name"));String value = String.valueOf(map.get("value"));xAxis.add(oneValue);yAxis0.add(value);}Map<String, Object> resultMap = new HashMap<>();resultMap.put("xAxis",xAxis);resultMap.put("yAxis",yAxis);resultMap.put("legend",legend);return R.ok().put("data", resultMap);}/*** 柱状图统计双列* @return*/@RequestMapping("/barSumTwo")public R barSumTwo(@RequestParam Map<String,Object> params) {logger.debug("柱状图统计双列:,,Controller:{},,params:{}",this.getClass().getName(),params);List<Map<String, Object>> result = commonService.barSumTwo(params);List<String> xAxis = new ArrayList<>();//报表x轴List<List<String>> yAxis = new ArrayList<>();//y轴List<String> legend = new ArrayList<>();//标题Map<String, HashMap<String, String>> dataMap = new LinkedHashMap<>();for(Map<String, Object> map :result){String name1Value = String.valueOf(map.get("name1"));String name2Value = String.valueOf(map.get("name2"));String value = String.valueOf(map.get("value"));if(!legend.contains(name2Value)){legend.add(name2Value);//添加完成后 就是最全的第二列的类型}if(dataMap.containsKey(name1Value)){dataMap.get(name1Value).put(name2Value,value);}else{HashMap<String, String> name1Data = new HashMap<>();name1Data.put(name2Value,value);dataMap.put(name1Value,name1Data);}}for(int i =0; i<legend.size(); i++){yAxis.add(new ArrayList<String>());}Set<String> keys = dataMap.keySet();for(String key:keys){xAxis.add(key);HashMap<String, String> map = dataMap.get(key);for(int i =0; i<legend.size(); i++){List<String> data = yAxis.get(i);if(StringUtil.isNotEmpty(map.get(legend.get(i)))){data.add(map.get(legend.get(i)));}else{data.add("0");}}}System.out.println();Map<String, Object> resultMap = new HashMap<>();resultMap.put("xAxis",xAxis);resultMap.put("yAxis",yAxis);resultMap.put("legend",legend);return R.ok().put("data", resultMap);}/*** 柱状图统计双列* @return*/@RequestMapping("/barCountTwo")public R barCountTwo(@RequestParam Map<String,Object> params) {logger.debug("柱状图统计双列:,,Controller:{},,params:{}",this.getClass().getName(),params);List<Map<String, Object>> result = commonService.barCountTwo(params);List<String> xAxis = new ArrayList<>();//报表x轴List<List<String>> yAxis = new ArrayList<>();//y轴List<String> legend = new ArrayList<>();//标题Map<String, HashMap<String, String>> dataMap = new LinkedHashMap<>();for(Map<String, Object> map :result){String name1Value = String.valueOf(map.get("name1"));String name2Value = String.valueOf(map.get("name2"));String value = String.valueOf(map.get("value"));if(!legend.contains(name2Value)){legend.add(name2Value);//添加完成后 就是最全的第二列的类型}if(dataMap.containsKey(name1Value)){dataMap.get(name1Value).put(name2Value,value);}else{HashMap<String, String> name1Data = new HashMap<>();name1Data.put(name2Value,value);dataMap.put(name1Value,name1Data);}}for(int i =0; i<legend.size(); i++){yAxis.add(new ArrayList<String>());}Set<String> keys = dataMap.keySet();for(String key:keys){xAxis.add(key);HashMap<String, String> map = dataMap.get(key);for(int i =0; i<legend.size(); i++){List<String> data = yAxis.get(i);if(StringUtil.isNotEmpty(map.get(legend.get(i)))){data.add(map.get(legend.get(i)));}else{data.add("0");}}}System.out.println();Map<String, Object> resultMap = new HashMap<>();resultMap.put("xAxis",xAxis);resultMap.put("yAxis",yAxis);resultMap.put("legend",legend);return R.ok().put("data", resultMap);}/**tableName 查询表condition1 条件1condition1Value 条件1值average 计算平均评分取值有值 Number(res.data.value.toFixed(1))无值 if(res.data){}* */@IgnoreAuth@RequestMapping("/queryScore")public R queryScore(@RequestParam Map<String, Object> params) {logger.debug("queryScore:,,Controller:{},,params:{}",this.getClass().getName(),params);Map<String, Object> queryScore = commonService.queryScore(params);return R.ok().put("data", queryScore);}/*** 查询字典表的分组统计总条数*  tableName  		表名*	groupColumn  	分组字段* @return*/@RequestMapping("/newSelectGroupCount")public R newSelectGroupCount(@RequestParam Map<String,Object> params) {logger.debug("newSelectGroupCount:,,Controller:{},,params:{}",this.getClass().getName(),params);List<Map<String, Object>> result = commonService.newSelectGroupCount(params);return R.ok().put("data", result);}/*** 查询字典表的分组求和* tableName  		表名* groupColumn  		分组字段* sumCloum			统计字段* @return*/@RequestMapping("/newSelectGroupSum")public R newSelectGroupSum(@RequestParam Map<String,Object> params) {logger.debug("newSelectGroupSum:,,Controller:{},,params:{}",this.getClass().getName(),params);List<Map<String, Object>> result = commonService.newSelectGroupSum(params);return R.ok().put("data", result);}/*** 柱状图求和 老的*/@RequestMapping("/barSum")public R barSum(@RequestParam Map<String,Object> params) {logger.debug("barSum方法:,,Controller:{},,params:{}",this.getClass().getName(), com.alibaba.fastjson.JSONObject.toJSONString(params));Boolean isJoinTableFlag =  false;//是否有级联表相关String one =  "";//第一优先String two =  "";//第二优先//处理thisTable和joinTable 处理内容是把json字符串转为Map并把带有,的切割为数组//当前表Map<String,Object> thisTable = JSON.parseObject(String.valueOf(params.get("thisTable")),Map.class);params.put("thisTable",thisTable);//级联表String joinTableString = String.valueOf(params.get("joinTable"));if(StringUtil.isNotEmpty(joinTableString)) {Map<String, Object> joinTable = JSON.parseObject(joinTableString, Map.class);params.put("joinTable", joinTable);isJoinTableFlag = true;}if(StringUtil.isNotEmpty(String.valueOf(thisTable.get("date")))){//当前表日期thisTable.put("date",String.valueOf(thisTable.get("date")).split(","));one = "thisDate0";}if(isJoinTableFlag){//级联表日期Map<String, Object> joinTable = (Map<String, Object>) params.get("joinTable");if(StringUtil.isNotEmpty(String.valueOf(joinTable.get("date")))){joinTable.put("date",String.valueOf(joinTable.get("date")).split(","));if(StringUtil.isEmpty(one)){one ="joinDate0";}else{if(StringUtil.isEmpty(two)){two ="joinDate0";}}}}if(StringUtil.isNotEmpty(String.valueOf(thisTable.get("string")))){//当前表字符串thisTable.put("string",String.valueOf(thisTable.get("string")).split(","));if(StringUtil.isEmpty(one)){one ="thisString0";}else{if(StringUtil.isEmpty(two)){two ="thisString0";}}}if(isJoinTableFlag){//级联表字符串Map<String, Object> joinTable = (Map<String, Object>) params.get("joinTable");if(StringUtil.isNotEmpty(String.valueOf(joinTable.get("string")))){joinTable.put("string",String.valueOf(joinTable.get("string")).split(","));if(StringUtil.isEmpty(one)){one ="joinString0";}else{if(StringUtil.isEmpty(two)){two ="joinString0";}}}}if(StringUtil.isNotEmpty(String.valueOf(thisTable.get("types")))){//当前表类型thisTable.put("types",String.valueOf(thisTable.get("types")).split(","));if(StringUtil.isEmpty(one)){one ="thisTypes0";}else{if(StringUtil.isEmpty(two)){two ="thisTypes0";}}}if(isJoinTableFlag){//级联表类型Map<String, Object> joinTable = (Map<String, Object>) params.get("joinTable");if(StringUtil.isNotEmpty(String.valueOf(joinTable.get("types")))){joinTable.put("types",String.valueOf(joinTable.get("types")).split(","));if(StringUtil.isEmpty(one)){one ="joinTypes0";}else{if(StringUtil.isEmpty(two)){two ="joinTypes0";}}}}List<Map<String, Object>> result = commonService.barSum(params);List<String> xAxis = new ArrayList<>();//报表x轴List<List<String>> yAxis = new ArrayList<>();//y轴List<String> legend = new ArrayList<>();//标题if(StringUtil.isEmpty(two)){//不包含第二列List<String> yAxis0 = new ArrayList<>();yAxis.add(yAxis0);legend.add("");for(Map<String, Object> map :result){String oneValue = String.valueOf(map.get(one));String value = String.valueOf(map.get("value"));xAxis.add(oneValue);yAxis0.add(value);}}else{//包含第二列Map<String, HashMap<String, String>> dataMap = new LinkedHashMap<>();if(StringUtil.isNotEmpty(two)){for(Map<String, Object> map :result){String oneValue = String.valueOf(map.get(one));String twoValue = String.valueOf(map.get(two));String value = String.valueOf(map.get("value"));if(!legend.contains(twoValue)){legend.add(twoValue);//添加完成后 就是最全的第二列的类型}if(dataMap.containsKey(oneValue)){dataMap.get(oneValue).put(twoValue,value);}else{HashMap<String, String> oneData = new HashMap<>();oneData.put(twoValue,value);dataMap.put(oneValue,oneData);}}}for(int i =0; i<legend.size(); i++){yAxis.add(new ArrayList<String>());}Set<String> keys = dataMap.keySet();for(String key:keys){xAxis.add(key);HashMap<String, String> map = dataMap.get(key);for(int i =0; i<legend.size(); i++){List<String> data = yAxis.get(i);if(StringUtil.isNotEmpty(map.get(legend.get(i)))){data.add(map.get(legend.get(i)));}else{data.add("0");}}}System.out.println();}Map<String, Object> resultMap = new HashMap<>();resultMap.put("xAxis",xAxis);resultMap.put("yAxis",yAxis);resultMap.put("legend",legend);return R.ok().put("data", resultMap);}/*** 柱状图统计 老的*/@RequestMapping("/barCount")public R barCount(@RequestParam Map<String,Object> params) {logger.debug("barCount方法:,,Controller:{},,params:{}",this.getClass().getName(), com.alibaba.fastjson.JSONObject.toJSONString(params));Boolean isJoinTableFlag =  false;//是否有级联表相关String one =  "";//第一优先String two =  "";//第二优先//处理thisTable和joinTable 处理内容是把json字符串转为Map并把带有,的切割为数组//当前表Map<String,Object> thisTable = JSON.parseObject(String.valueOf(params.get("thisTable")),Map.class);params.put("thisTable",thisTable);//级联表String joinTableString = String.valueOf(params.get("joinTable"));if(StringUtil.isNotEmpty(joinTableString)) {Map<String, Object> joinTable = JSON.parseObject(joinTableString, Map.class);params.put("joinTable", joinTable);isJoinTableFlag = true;}if(StringUtil.isNotEmpty(String.valueOf(thisTable.get("date")))){//当前表日期thisTable.put("date",String.valueOf(thisTable.get("date")).split(","));one = "thisDate0";}if(isJoinTableFlag){//级联表日期Map<String, Object> joinTable = (Map<String, Object>) params.get("joinTable");if(StringUtil.isNotEmpty(String.valueOf(joinTable.get("date")))){joinTable.put("date",String.valueOf(joinTable.get("date")).split(","));if(StringUtil.isEmpty(one)){one ="joinDate0";}else{if(StringUtil.isEmpty(two)){two ="joinDate0";}}}}if(StringUtil.isNotEmpty(String.valueOf(thisTable.get("string")))){//当前表字符串thisTable.put("string",String.valueOf(thisTable.get("string")).split(","));if(StringUtil.isEmpty(one)){one ="thisString0";}else{if(StringUtil.isEmpty(two)){two ="thisString0";}}}if(isJoinTableFlag){//级联表字符串Map<String, Object> joinTable = (Map<String, Object>) params.get("joinTable");if(StringUtil.isNotEmpty(String.valueOf(joinTable.get("string")))){joinTable.put("string",String.valueOf(joinTable.get("string")).split(","));if(StringUtil.isEmpty(one)){one ="joinString0";}else{if(StringUtil.isEmpty(two)){two ="joinString0";}}}}if(StringUtil.isNotEmpty(String.valueOf(thisTable.get("types")))){//当前表类型thisTable.put("types",String.valueOf(thisTable.get("types")).split(","));if(StringUtil.isEmpty(one)){one ="thisTypes0";}else{if(StringUtil.isEmpty(two)){two ="thisTypes0";}}}if(isJoinTableFlag){//级联表类型Map<String, Object> joinTable = (Map<String, Object>) params.get("joinTable");if(StringUtil.isNotEmpty(String.valueOf(joinTable.get("types")))){joinTable.put("types",String.valueOf(joinTable.get("types")).split(","));if(StringUtil.isEmpty(one)){one ="joinTypes0";}else{if(StringUtil.isEmpty(two)){two ="joinTypes0";}}}}List<Map<String, Object>> result = commonService.barCount(params);List<String> xAxis = new ArrayList<>();//报表x轴List<List<String>> yAxis = new ArrayList<>();//y轴List<String> legend = new ArrayList<>();//标题if(StringUtil.isEmpty(two)){//不包含第二列List<String> yAxis0 = new ArrayList<>();yAxis.add(yAxis0);legend.add("");for(Map<String, Object> map :result){String oneValue = String.valueOf(map.get(one));String value = String.valueOf(map.get("value"));xAxis.add(oneValue);yAxis0.add(value);}}else{//包含第二列Map<String, HashMap<String, String>> dataMap = new LinkedHashMap<>();if(StringUtil.isNotEmpty(two)){for(Map<String, Object> map :result){String oneValue = String.valueOf(map.get(one));String twoValue = String.valueOf(map.get(two));String value = String.valueOf(map.get("value"));if(!legend.contains(twoValue)){legend.add(twoValue);//添加完成后 就是最全的第二列的类型}if(dataMap.containsKey(oneValue)){dataMap.get(oneValue).put(twoValue,value);}else{HashMap<String, String> oneData = new HashMap<>();oneData.put(twoValue,value);dataMap.put(oneValue,oneData);}}}for(int i =0; i<legend.size(); i++){yAxis.add(new ArrayList<String>());}Set<String> keys = dataMap.keySet();for(String key:keys){xAxis.add(key);HashMap<String, String> map = dataMap.get(key);for(int i =0; i<legend.size(); i++){List<String> data = yAxis.get(i);if(StringUtil.isNotEmpty(map.get(legend.get(i)))){data.add(map.get(legend.get(i)));}else{data.add("0");}}}System.out.println();}Map<String, Object> resultMap = new HashMap<>();resultMap.put("xAxis",xAxis);resultMap.put("yAxis",yAxis);resultMap.put("legend",legend);return R.ok().put("data", resultMap);}
}
<?xml version="1.0" encoding="UTF-8"?>
<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 https://maven.apache.org/xsd/maven-4.0.0.xsd"><modelVersion>4.0.0</modelVersion><parent><groupId>org.springframework.boot</groupId><artifactId>spring-boot-starter-parent</artifactId><version>2.2.2.RELEASE</version><relativePath/> <!-- lookup parent from repository --></parent><groupId>com.jlwl</groupId><!-- 导入项目的名称 --><artifactId>springboot310o0</artifactId><version>0.0.1-SNAPSHOT</version><name>springboot-schema</name><description>springboot学习框架</description><properties><java.version>1.8</java.version><fastjson.version>1.2.8</fastjson.version><maven-jar-plugin.version>3.1.1</maven-jar-plugin.version></properties><dependencies><dependency><groupId>org.springframework.boot</groupId><artifactId>spring-boot-starter-web</artifactId></dependency><dependency><groupId>org.mybatis.spring.boot</groupId><artifactId>mybatis-spring-boot-starter</artifactId><version>2.1.1</version></dependency><dependency><groupId>org.springframework.boot</groupId><artifactId>spring-boot-starter-jdbc</artifactId></dependency><dependency><groupId>mysql</groupId><artifactId>mysql-connector-java</artifactId></dependency><dependency><groupId>org.apache.shiro</groupId><artifactId>shiro-spring</artifactId><version>1.3.2</version></dependency><dependency><groupId>com.baomidou</groupId><artifactId>mybatis-plus</artifactId><version>2.3</version></dependency><dependency><groupId>com.baomidou</groupId><artifactId>mybatisplus-spring-boot-starter</artifactId><version>1.0.5</version></dependency><dependency><groupId>com.google.protobuf</groupId><artifactId>protobuf-java</artifactId><version>3.10.0</version></dependency><dependency><groupId>org.apache.commons</groupId><artifactId>commons-lang3</artifactId><version>3.0</version></dependency><dependency><groupId>javax.validation</groupId><artifactId>validation-api</artifactId><version>2.0.1.Final</version></dependency><dependency><groupId>commons-io</groupId><artifactId>commons-io</artifactId><version>2.5</version></dependency><dependency><groupId>cn.hutool</groupId><artifactId>hutool-all</artifactId><version>4.0.12</version></dependency><!-- FastJson --><dependency><groupId>com.alibaba</groupId><artifactId>fastjson</artifactId><version>${fastjson.version}</version></dependency><dependency><groupId>com.microsoft.sqlserver</groupId><artifactId>sqljdbc4</artifactId><scope>4.0</scope><version>4.0</version></dependency><dependency><groupId>com.microsoft.sqlserver</groupId><artifactId>mssql-jdbc</artifactId><version>6.2.0.jre8</version><scope>runtime</scope></dependency><!-- 百度人工智能 --><dependency><groupId>com.baidu.aip</groupId><artifactId>java-sdk</artifactId><version>4.4.1</version></dependency><dependency><groupId>org.apache.poi</groupId><artifactId>poi</artifactId><version>3.11</version></dependency><dependency><groupId>org.apache.poi</groupId><artifactId>poi-ooxml</artifactId><version>3.9</version></dependency><dependency><groupId>org.springframework.boot</groupId><artifactId>spring-boot-starter-test</artifactId><scope>test</scope><exclusions><exclusion><groupId>org.junit.vintage</groupId><artifactId>junit-vintage-engine</artifactId></exclusion></exclusions></dependency></dependencies><build><plugins><plugin><groupId>org.springframework.boot</groupId><artifactId>spring-boot-maven-plugin</artifactId></plugin></plugins></build></project>

本文来自互联网用户投稿,该文观点仅代表作者本人,不代表本站立场。本站仅提供信息存储空间服务,不拥有所有权,不承担相关法律责任。如若转载,请注明出处:http://www.hqwc.cn/news/438522.html

如若内容造成侵权/违法违规/事实不符,请联系编程知识网进行投诉反馈email:809451989@qq.com,一经查实,立即删除!

相关文章

Java基础数据结构之哈希表

概念 顺序结构以及平衡树 中&#xff0c;元素关键码与其存储位置之间没有对应的关系&#xff0c;因此在 查找一个元素时&#xff0c;必须要经过关键 码的多次比较 。 顺序查找时间复杂度为 O(N) &#xff0c;平衡树中为树的高度&#xff0c;即 O( log2N ) &#xff0c;搜索的效…

IndexedDB查询

Indexeddb 创建、增删改查_indexdb 删除表-CSDN博客本地数据库IndexedDB - 学员管理系统之条件筛选&#xff08;四&#xff09;_indexdb条件查询-CSDN博客 <div align"center"><input type"text" id"input_search"> <button id&q…

机器学习实验4——CNN卷积神经网络分类Minst数据集

文章目录 &#x1f9e1;&#x1f9e1;实验内容&#x1f9e1;&#x1f9e1;&#x1f9e1;&#x1f9e1; 原理&#x1f9e1;&#x1f9e1;&#x1f9e1;&#x1f9e1;CNN实现分类Minst&#x1f9e1;&#x1f9e1;代码数据预处理&#xff1a;设置基本参数&#xff1a; &#x1f9e…

操作系统-调度器与闲逛进程(调度程序与进程和线程调度)和调度算法的指标(CPU利用率 系统吞吐量 周转时间 等待时间 响应时间)

文章目录 调度器和闲逛进程调度器/调度程序进程调度线程调度 闲逛进程 调度算法的指标总览CPU利用率系统吞吐量周转时间等待时间响应时间小结 调度器和闲逛进程 调度器/调度程序 进程调度 是否让当前进程下处理机&#xff0c;让哪个进程上处理机 创建完新进程&#xff0c;此…

小程序直播項目开发流程

点击登录功能&#xff0c;创建IM个人账户 以及 创建直播间群组 第一步&#xff1a;需要获取用户唯一的标识openid。 获取流程如下-点击登录按钮-通过wx.getUserProfile这个Api返回的res.userinfo信息获取用户头像昵称等-再通过wx.login的api获取用户的code-使用code再到服务器换…

有哪些好用的洗地机?家用洗地机品牌推荐

洗地机独特的一洗一吸设计带来了卓越的清洁效果。地面上的污渍、垃圾、粉尘都无法抵挡其强大的清洁力&#xff0c;仅需短短几秒钟&#xff0c;家里的地面就能焕然一新&#xff0c;让人感觉仿佛置身于清新宜人的环境中。这种实用性和清洁效果的结合&#xff0c;让洗地机成为智能…

python 基础知识点(蓝桥杯python科目个人复习计划27)

今日复习内容&#xff1a;基础算法中的递归 1.介绍 递归&#xff1a;通过自我调用来解决问题的函数递归通常把一个复杂的大问题层层转化为一个与原问题相似的规模较小的问题来解决 递归要注意&#xff1a;&#xff08;1&#xff09;递归出口&#xff1b;&#xff08;2&#x…

机器学习算法实战案例:使用 Transformer 模型进行时间序列预测实战(升级版)

时间序列预测是一个经久不衰的主题&#xff0c;受自然语言处理领域的成功启发&#xff0c;transformer模型也在时间序列预测有了很大的发展。 本文可以作为学习使用Transformer 模型的时间序列预测的一个起点。 文章目录 机器学习算法实战案例系列答疑&技术交流数据集数据…

使用py-spy对python程序进行性能诊断学习

py-spy简介 py-spy是一个用Rust编写的轻量级Python分析工具&#xff0c;它能够监视正在运行的Python程序&#xff0c;而不需要修改代码或者重新启动程序。Py-spy可以在不影响程序运行的情况下&#xff0c;采集程序运行时的信息&#xff0c;生成火焰图&#xff08;flame graph&…

springboot131企业oa管理系统

企业OA管理系统 摘要 随着信息技术在管理上越来越深入而广泛的应用&#xff0c;管理信息系统的实施在技术上已逐步成熟。本文介绍了企业OA管理系统的开发全过程。通过分析企业OA管理系统管理的不足&#xff0c;创建了一个计算机管理企业OA管理系统的方案。文章介绍了企业OA管…

第二百九十五回

文章目录 1. 概念介绍2. 使用方法3. 示例代码4. 内容总结 我们在上一章回中分享了一个好用的Json工具&#xff0c;本章回中将介绍如何处理ListView中的事件冲突.闲话休提&#xff0c;让我们一起Talk Flutter吧。 1. 概念介绍 在Flutter应用开发中&#xff0c;ListView组件是实…

Redis面试(三)

1.Redis报内存不足怎么处理 Redis内存不足的集中处理方式&#xff1a; 修改配置文件redis.cof的maxmemory参数&#xff0c;增加Redis的可用内存通过命令修改set maxmemory动态设置内存上限修改内存淘汰策略&#xff0c;及时释放内存使用Redis集群&#xff0c;及时进行扩容 2…